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@ -1,5 +1,7 @@ |
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import os |
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import time as tm |
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from line_profiler import LineProfiler |
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import network_graph as ng |
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import sample_path as sp |
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@ -30,34 +32,11 @@ class ParametersEstimator: |
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print("Elapsed Time ", t1) |
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def parameters_estimation_single_trajectory(self, trajectory): |
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#t0 = tm.time() |
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row_length = trajectory.shape[1] |
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for indx, row in enumerate(trajectory[:-1]): |
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self.compute_sufficient_statistics_for_row(trajectory[indx], trajectory[indx + 1], row_length) |
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"""if trajectory[indx + 1][1] != -1: |
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transition = self.find_transition(trajectory[indx], trajectory[indx + 1], row_length) |
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which_node = transition[0] |
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# print(which_node) |
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which_matrix = self.which_matrix_to_update(row, transition[0]) |
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which_element = transition[1] |
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self.amalgamated_cims_struct.update_state_transition_for_matrix(which_node, which_matrix, which_element) |
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#changed_node = which_node |
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time = self.compute_time_delta(trajectory[indx], trajectory[indx + 1]) |
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which_element = transition[1][0] |
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self.amalgamated_cims_struct.update_state_residence_time_for_matrix(which_node, which_matrix, which_element, |
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time) |
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for node_indx in range(0, 3): |
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if node_indx != transition[0]: |
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# print(node) |
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which_node = node_indx |
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which_matrix = self.which_matrix_to_update(row, node_indx) |
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which_element = row[node_indx + 1] |
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self.amalgamated_cims_struct.update_state_residence_time_for_matrix( |
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which_node, which_matrix, which_element, time)""" |
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#t1 = tm.time() - t0 |
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#print("Elapsed Time ", t1) |
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def compute_sufficient_statistics_for_row(self, current_row, next_row, row_length): |
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#time = self.compute_time_delta(current_row, next_row) |
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time = current_row[0] |
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@ -80,7 +59,6 @@ class ParametersEstimator: |
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which_node, which_matrix, which_element, time) |
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def find_transition(self, current_row, next_row, row_length): |
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for indx in range(1, row_length): |
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if current_row[indx] != next_row[indx]: |
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@ -90,8 +68,8 @@ class ParametersEstimator: |
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def compute_time_delta(self, current_row, next_row): |
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return next_row[0] - current_row[0] |
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def which_matrix_to_update(self, current_row, node_indx): # produce strutture {'X':1, 'Y':2} dove X e Y sono i parent di node_id |
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return current_row[self.fancy_indexing_structure[node_indx]] |
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def which_matrix_to_update(self, current_row, node_indx): |
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return tuple(current_row.take(self.fancy_indexing_structure[node_indx])) |
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@ -116,6 +94,12 @@ print(pe.amalgamated_cims_struct.get_set_of_cims(1).get_cims_number()) |
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print(pe.amalgamated_cims_struct.get_set_of_cims(2).get_cims_number()) |
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#pe.parameters_estimation_single_trajectory(pe.sample_path.trajectories[0].get_trajectory()) |
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pe.parameters_estimation() |
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"""lp = LineProfiler() |
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lp.add_function(pe.compute_sufficient_statistics_for_row) # add additional function to profile |
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lp_wrapper = lp(pe.parameters_estimation_single_trajectory) |
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#lp_wrapper = lp(pe.parameters_estimation) |
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lp_wrapper(pe.sample_path.trajectories[0].get_trajectory()) |
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lp.print_stats()""" |
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for matrix in pe.amalgamated_cims_struct.get_set_of_cims(1).actual_cims: |
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print(matrix.state_residence_times) |
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print(matrix.state_transition_matrix) |
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